These datasets record mortality rates across all ages in the USA by cause of death, sex, and rural/urban status, 2011–2013. The two datasets represent the national aggregate rates and the region-wise rates for each administrative region under the Department of Health and Human Services (HHS).
USRegionalMortality is a data frame with 400 observations on
the following 6 variables.
A factor specifying HHS Region. See details.
A factor with levels
A factor with levels
Cause of death. A factor with levels
Flu and pneumonia,
Age-adjusted death rate per 100,000 population
Standard error for the rate
USMortality is a data frame with 40 observations, containing
the same variables with the exception of
The region-wise data give estimated rates separately for each of 10 HHS regions. The location of the regional offices and their coverage area, available from https://www.hhs.gov/about/agencies/iea/regional-offices/index.html, is given below.
Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont
New Jersey, New York, Puerto Rico, and the Virgin Islands
Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia
Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee
Illinois, Indiana, Michigan, Minnesota, Ohio, and Wisconsin
Arkansas, Louisiana, New Mexico, Oklahoma, and Texas
Iowa, Kansas, Missouri, and Nebraska
Colorado, Montana, North Dakota, South Dakota, Utah, and Wyoming
Arizona, California, Hawaii, Nevada, American Samoa, Commonwealth of the Northern Mariana Islands, Federated States of Micronesia, Guam, Marshall Islands, and Republic of Palau
Alaska, Idaho, Oregon, and Washington
Rural Health Reform Policy Research Center. _Exploring Rural and Urban Mortality Differences_, August 2015 Bethesda, MD. https://ruralhealth.und.edu/projects/health-reform-policy-research-center/rural-urban-mortality
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dotplot(reorder(Cause, Rate) ~ Rate | Status, data = USMortality, groups = Sex, par.settings = simpleTheme(pch = 16), auto.key = list(columns = 2), scales = list(x = list(log = TRUE, equispaced.log = FALSE))) dotplot(reorder(Cause, Rate):Sex ~ Rate | Status, data = USRegionalMortality, groups = Sex, scales = list(x = list(log = TRUE, equispaced.log = FALSE)))
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